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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concept of linear separability in support vector machines (SVM). It explains how an SVM seeks to find a hyperplane that separates positive and negative points in a dataset. The lecture delves into the margin of a separating hyperplane, the origin of the SVM name, support vectors, and the formulation of SVM with a rigid margin.
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